AI Workflow Engineer

About the role

The Workflow Engineer at Accertify will turn AI capabilities into production-grade agent workflows that automate real business processes. They will design and ship LLM-powered flows, from RAG pipelines and MCP tools to multi-step agentic automations, and integrate them safely with our apps, data, and APIs.

Responsibilities

• Build agentic systems
• Create task decomposition, tool-use policies, guardrails, and evaluation loops
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Stand up vector search and retrieval pipelines; select embedding strategies
• Optimize context packing, grounding quality, and hallucination mitigation
• Develop MCP tools & integrations
• Build Model Context Protocol (MCP) servers and custom tools to safely connect to APIs, databases, and internal systems
• Establish capabilities, permissions, and auditing for tool use
• Ship production-ready AI services
• Build FastAPI/Node services that expose AI workflows behind secure APIs
• Own CI/CD for workflow services; write tests, contract checks, and evals
• Instrument workflows with latency, cost, accuracy, and safety metrics
• Run prompt/eval experiments; iterate on prompts, memory, and grounding
• Partner across teams
• Work with product & ops to prioritize use cases
• Collaborate with Platform/DevOps to deploy and scale reliably in Kubernetes

Qualifications

• Strong coding in Python and/or Node; clean API design
• Hands-on with LLM integration (prompting, tool use, function calling)
• Experience building RAG systems and working with vector databases
• Practical familiarity with LangGraph/CrewAI/n8n or similar orchestration
• Experience building MCP tools/servers or equivalent agent-tool frameworks
• Solid understanding of REST/GraphQL, auth (OAuth/OIDC), and secure integration
• Containers, Git, CI/CD basics; comfort shipping production services

Preferred Qualifications

• Evals & guardrails (e.g., structured output, JSON schemas, toxicity/PII checks)
• Knowledge graphs / event-driven architectures/workflow engines
• Model selection & optimization; prompt caching; cost/perf tuning
• Exposure to LLM safety, privacy, governance, and enterprise compliance

Potential Salary Range

$115,000 to $120,000

Additional Details

• Potential remote US-based (work-from-home) locations
• Chicago-based candidates would work in a hybrid capacity from Accertify's HQ in Itasca, IL
• Visa Sponsorship: Employment eligibility to work for Accertify in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position.